Tao Zheng

Orcid: 0009-0001-3736-4604

Affiliations:
  • Nanjing University, Nanjing, China


According to our database1, Tao Zheng authored at least 21 papers between 2024 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
HELO-APR: Enhancing Low-Resource Program Repair through Cross-Lingual Knowledge Transfer.
CoRR, April, 2026

Beyond the Academic Monoculture: A Unified Framework and Industrial Perspective for Attributed Graph Clustering.
CoRR, March, 2026

On the Effectiveness of Code Representation in Deep Learning-Based Automated Patch Correctness Assessment.
CoRR, March, 2026

Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering.
CoRR, February, 2026

Mitigating Homophily Disparity in Graph Anomaly Detection: A Scalable and Adaptive Approach.
Proceedings of the ACM Web Conference 2026, 2026

Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

On Modality Weighting and Specificity for Multi-Modal Entity Alignment.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

EchoEdit: Consistent Multi-Hop Question Answering via Ripple Control in Knowledge Editing.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-Trained Language Models.
ACM Trans. Softw. Eng. Methodol., September, 2025

Improving Retrieval-Augmented Deep Assertion Generation via Joint Training.
IEEE Trans. Software Eng., April, 2025

Norm Augmented Graph AutoEncoders for Link Prediction.
CoRR, February, 2025

Negative-Free Self-Supervised Gaussian Embedding of Graphs.
Neural Networks, 2025

Exploration and Improvement of Capabilities of LLMs in Code Refinement Task.
Int. J. Softw. Informatics, 2025

Continuous Concepts Removal in Text-to-image Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Learning Accurate, Efficient, and Interpretable MLPs on Multiplex Graphs via Node-Wise Multi-view Ensemble Distillation.
Proceedings of the Database Systems for Advanced Applications, 2025

2024
Reliable Node Similarity Matrix Guided Contrastive Graph Clustering.
IEEE Trans. Knowl. Data Eng., December, 2024

Bootstrap Latents of Nodes and Neighbors for Graph Self-supervised Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Mutation-Based Deep Learning Framework Testing Method in JavaScript Environment.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

Scalable and Adaptive Spectral Embedding for Attributed Graph Clustering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024


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